Cargando…

Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management

Wheat fulfills 20% of global caloric requirement. World needs 60% more wheat for 9 billion population by 2050 but climate change with increasing temperature is projected to affect wheat productivity adversely. Trait improvement and management of wheat germplasm requires genomic resource. Simple Sequ...

Descripción completa

Detalles Bibliográficos
Autores principales: Jaiswal, Sarika, Sheoran, Sonia, Arora, Vasu, Angadi, Ulavappa B., Iquebal, Mir A., Raghav, Nishu, Aneja, Bharti, Kumar, Deepender, Singh, Rajender, Sharma, Pradeep, Singh, G. P., Rai, Anil, Tiwari, Ratan, Kumar, Dinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712362/
https://www.ncbi.nlm.nih.gov/pubmed/29234333
http://dx.doi.org/10.3389/fpls.2017.02009
_version_ 1783283210965221376
author Jaiswal, Sarika
Sheoran, Sonia
Arora, Vasu
Angadi, Ulavappa B.
Iquebal, Mir A.
Raghav, Nishu
Aneja, Bharti
Kumar, Deepender
Singh, Rajender
Sharma, Pradeep
Singh, G. P.
Rai, Anil
Tiwari, Ratan
Kumar, Dinesh
author_facet Jaiswal, Sarika
Sheoran, Sonia
Arora, Vasu
Angadi, Ulavappa B.
Iquebal, Mir A.
Raghav, Nishu
Aneja, Bharti
Kumar, Deepender
Singh, Rajender
Sharma, Pradeep
Singh, G. P.
Rai, Anil
Tiwari, Ratan
Kumar, Dinesh
author_sort Jaiswal, Sarika
collection PubMed
description Wheat fulfills 20% of global caloric requirement. World needs 60% more wheat for 9 billion population by 2050 but climate change with increasing temperature is projected to affect wheat productivity adversely. Trait improvement and management of wheat germplasm requires genomic resource. Simple Sequence Repeats (SSRs) being highly polymorphic and ubiquitously distributed in the genome, can be a marker of choice but there is no structured marker database with options to generate primer pairs for genotyping on desired chromosome/physical location. Previously associated markers with different wheat trait are also not available in any database. Limitations of in vitro SSR discovery can be overcome by genome-wide in silico mining of SSR. Triticum aestivum SSR database (TaSSRDb) is an integrated online database with three-tier architecture, developed using PHP and MySQL and accessible at http://webtom.cabgrid.res.in/wheatssr/. For genotyping, Primer3 standalone code computes primers on user request. Chromosome-wise SSR calling for all the three sub genomes along with choice of motif types is provided in addition to the primer generation for desired marker. We report here a database of highest number of SSRs (476,169) from complex, hexaploid wheat genome (~17 GB) along with previously reported 268 SSR markers associated with 11 traits. Highest (116.93 SSRs/Mb) and lowest (74.57 SSRs/Mb) SSR densities were found on 2D and 3A chromosome, respectively. To obtain homozygous locus, e-PCR was done. Such 30 loci were randomly selected for PCR validation in panel of 18 wheat Advance Varietal Trial (AVT) lines. TaSSRDb can be a valuable genomic resource tool for linkage mapping, gene/QTL (Quantitative trait locus) discovery, diversity analysis, traceability and variety identification. Varietal specific profiling and differentiation can supplement DUS (Distinctiveness, Uniformity, and Stability) testing, EDV (Essentially Derived Variety)/IV (Initial Variety) disputes, seed purity and hybrid wheat testing. All these are required in germplasm management as well as also in the endeavor of wheat productivity.
format Online
Article
Text
id pubmed-5712362
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-57123622017-12-11 Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management Jaiswal, Sarika Sheoran, Sonia Arora, Vasu Angadi, Ulavappa B. Iquebal, Mir A. Raghav, Nishu Aneja, Bharti Kumar, Deepender Singh, Rajender Sharma, Pradeep Singh, G. P. Rai, Anil Tiwari, Ratan Kumar, Dinesh Front Plant Sci Plant Science Wheat fulfills 20% of global caloric requirement. World needs 60% more wheat for 9 billion population by 2050 but climate change with increasing temperature is projected to affect wheat productivity adversely. Trait improvement and management of wheat germplasm requires genomic resource. Simple Sequence Repeats (SSRs) being highly polymorphic and ubiquitously distributed in the genome, can be a marker of choice but there is no structured marker database with options to generate primer pairs for genotyping on desired chromosome/physical location. Previously associated markers with different wheat trait are also not available in any database. Limitations of in vitro SSR discovery can be overcome by genome-wide in silico mining of SSR. Triticum aestivum SSR database (TaSSRDb) is an integrated online database with three-tier architecture, developed using PHP and MySQL and accessible at http://webtom.cabgrid.res.in/wheatssr/. For genotyping, Primer3 standalone code computes primers on user request. Chromosome-wise SSR calling for all the three sub genomes along with choice of motif types is provided in addition to the primer generation for desired marker. We report here a database of highest number of SSRs (476,169) from complex, hexaploid wheat genome (~17 GB) along with previously reported 268 SSR markers associated with 11 traits. Highest (116.93 SSRs/Mb) and lowest (74.57 SSRs/Mb) SSR densities were found on 2D and 3A chromosome, respectively. To obtain homozygous locus, e-PCR was done. Such 30 loci were randomly selected for PCR validation in panel of 18 wheat Advance Varietal Trial (AVT) lines. TaSSRDb can be a valuable genomic resource tool for linkage mapping, gene/QTL (Quantitative trait locus) discovery, diversity analysis, traceability and variety identification. Varietal specific profiling and differentiation can supplement DUS (Distinctiveness, Uniformity, and Stability) testing, EDV (Essentially Derived Variety)/IV (Initial Variety) disputes, seed purity and hybrid wheat testing. All these are required in germplasm management as well as also in the endeavor of wheat productivity. Frontiers Media S.A. 2017-11-28 /pmc/articles/PMC5712362/ /pubmed/29234333 http://dx.doi.org/10.3389/fpls.2017.02009 Text en Copyright © 2017 Jaiswal, Sheoran, Arora, Angadi, Iquebal, Raghav, Aneja, Kumar, Singh, Sharma, Singh, Rai, Tiwari and Kumar. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Jaiswal, Sarika
Sheoran, Sonia
Arora, Vasu
Angadi, Ulavappa B.
Iquebal, Mir A.
Raghav, Nishu
Aneja, Bharti
Kumar, Deepender
Singh, Rajender
Sharma, Pradeep
Singh, G. P.
Rai, Anil
Tiwari, Ratan
Kumar, Dinesh
Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management
title Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management
title_full Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management
title_fullStr Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management
title_full_unstemmed Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management
title_short Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management
title_sort putative microsatellite dna marker-based wheat genomic resource for varietal improvement and management
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712362/
https://www.ncbi.nlm.nih.gov/pubmed/29234333
http://dx.doi.org/10.3389/fpls.2017.02009
work_keys_str_mv AT jaiswalsarika putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT sheoransonia putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT aroravasu putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT angadiulavappab putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT iquebalmira putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT raghavnishu putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT anejabharti putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT kumardeepender putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT singhrajender putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT sharmapradeep putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT singhgp putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT raianil putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT tiwariratan putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement
AT kumardinesh putativemicrosatellitednamarkerbasedwheatgenomicresourceforvarietalimprovementandmanagement